馃摎 Personal bits of knowledge
davidgasquez.com
1# Knowledge Graphs
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3- A knowledge graph is a structured representation of information that connects data points through relationships, forming a semantic network.
4 - It is used to represent knowledge where entities are nodes and relationships are edges.
5 - It is designed to capture the meaning and context of data, enabling machines to understand and reason about information.
6- Knowledge graphs facilitate efficient data discovery and exploration. They provide a common language for expressing and sharing knowledge, fostering collaboration and knowledge sharing among different stakeholders.
7 - They're great at representing a domain's data, and, together with a model, can deliver answers, though the questions need to be formulated as a query by an expert.
8- Linked data enables us to use the web as a large, decentralized graph database. Using links everywhere in data has amazing merits: links remove ambiguity, they enable exploration, they enable connected datasets.
9- Why didn't it catch on?
10 - Graphs always appear like a complicated mess, and we prefer hierarchies and categories.
11 - The Knowledge Graph seems like the purest representation of all data in a company but requires you to have all the data in the right format correctly annotated, correctly maintained, changed, and available.
12 - It takes too much effort to maintain and keep it semantic instead of copy-paste text around. This is one of the most interesting [[Artificial Intelligence Models]] applications.
13 - It offers no protection against some team inside the company breaking the whole web by moving to a different URI or refactoring their domain model in incompatible ways.
14 - For the Semantic Web to work, the infrastructure behind it needs to permanently keep all of the necessary sources that a file relies on. This could be a place where [[IPFS]] or others [[Decentralized Protocols]] could help!
15 - It tends to assume that the world fits into neat categories. Instead, we live in a world where membership in categories is partial, probabilistic, contested (Pluto), and changes over time.
16- Knowledge graphs might be a great way to give AI a "world view".
17- The status quo of the semantic web space is still SPARQL.
18 - You can build [a knowledge graph database on top of a relational engine](https://twitter.com/RelationalAI).
19- Knowledge Graphs act as a semantic layer.
20- Tables in SQL (relational [[Databases]]) are collections of relationships.
21- It is possible to make append-only and dynamic KGs with Temporal Knowledge Graphs!
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23## Projects
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25- [Plow](https://plow.pm/) - A package manager for ontologies empowering anyone to build reliable solutions with ontologies.
26- [Golden](https://golden.com/)
27- [Geo Browser](https://www.geobrowser.io/)
28- [Atomic Data](https://docs.atomicdata.dev/) - Modular specification for sharing, modifying and modeling graph data. It combines the ease of use of JSON, the connectivity of RDF (linked data) and the reliability of type-safety.